Info

LAST_DOWNLOAD

LAST_DOWNLOAD
2025-08-28

LAST_COMPILE

LAST_COMPILE
2026-01-31

Last

Code

CBD %>%
  group_by(TIME_PERIOD) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  head(1) %>%
  print_table_conditional()

TIME_PERIOD	Nobs
2014-S1	5149

TITLE

Code

CBD %>%
  group_by(TITLE) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

FREQ

Code

CBD %>%
  left_join(FREQ,  by = "FREQ") %>%
  group_by(FREQ, Freq) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

FREQ	Freq	Nobs
A	Annual	76043
H	Half-yearly	40170

REF_AREA

Code

CBD %>%
  left_join(REF_AREA,  by = "REF_AREA") %>%
  group_by(REF_AREA, Ref_area) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

REF_AREA	Ref_area	Nobs
D0	Extra-EU (changing composition)	11074
U2	Euro area (Member States and Institutions of the Euro Area) changing composition	9689
PT	Portugal	3810
CZ	Czech Republic	3752
RO	Romania	3752
BE	Belgium	3748
FI	Finland	3748
PL	Poland	3720
SI	Slovenia	3710
BG	Bulgaria	3698
MT	Malta	3670
IT	Italy	3660
LT	Lithuania	3651
FR	France	3597
AT	Austria	3585
SK	Slovakia	3562
NL	Netherlands	3426
DE	Germany	3395
LV	Latvia	3395
CY	Cyprus	3392
EE	Estonia	3389
IE	Ireland	3371
GR	Greece	3365
SE	Sweden	3363
LU	Luxembourg	3300
ES	Spain	3273
DK	Denmark	3172
GB	United Kingdom	3122
HU	Hungary	2621
HR	Croatia	1203

TIME_FORMAT

Code

CBD %>%
  group_by(TIME_FORMAT) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

TIME_FORMAT	Nobs
P1Y	76043
P6M	40170